The PYTHON QUANTS GROUP

Making the Best of Open Source for Quantitative Finance

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  • TECHNOLOGY

    Quant Platform brings you browser-based, interactive, collaborative data & financial analytics using
    Python, R, Julia and more. DX Analytics brings powerful derivatives and risk analytics to Python.

  • KNOW-HOW

    Benefit from decades of experience in Python and Quant Finance to build modern analytics solutions efficiently and fast. Read our books Python for Finance (O'Reilly) and Derivatives Analytics with Python (Wiley).

  • SERVICES & COMMUNITY

    We offer consulting, development and training services in all financial capitals (eg New York, London, Frankfurt). We conduct Python for Quant Finance meetups and For Python Quants conferences. All this on a global basis.

    Stay informed about the latest in Open Source for Quant Finance.

    OUR PRODUCTS & SERVICES

    All you need to beneficially apply Python for Quant Finance.

    QUANT
    PLATFORM

    Browser-based Financial Analytics

    Experience a new level of productivity and a new approach to collaboration in financial analytics. The platform offers eg Jupyter Notebooks, full browser-based shell acess, GUI-based filemanagement, project/file sharing & publishing. Free trials under http://trial.quant-platform.com.

    DX
    ANALYTICS

    Derivatives & Risk Analytics

    Completely modular and object-oriented open source library to model, manage, price and risk manage complex portfolios of (multi-risk) derivatives with potentially complex correlations structures. Optimize portfolios, value interest swaps and more. Visit http://dx-analytics.com.

    THREE
    BOOKS

    Condensed Know-how

    Yves Hilpisch, Managing Partner of The Python Quants, has written three books on the use of Python in Quant Finance. The first is Python for Finance (O'Reilly, 2014). The second is Derivatives Analytics with Python (Wiley Finance, 2015). The third is Listed Volatility & Variance Derivatives (Wiley Finance, forthcoming).

    SERVICES
    & TRAINING

    LET'S DO IT
    TOGETHER

    We help you in any way to start using Python for Quant Finance, to solve specific problems or to conduct ambitious, path-breaking projects. Be it with consulting, development or training. We help you transition from eg Matlab & streamline your analytics with Python.

    QUANT PLATFORM

    Experience new levels of productivity and collaboration in financial analytics.


    Our approach to designing the Quant Platform is inspired by Bruce Lee's martial arts philosophy:
    "Absorb what is useful, discard what is not, and add what is uniquely your own."



    VIDEO TOUR

    A 7.5 minute video showing how to do interactive financial analytics
    and how to deploy a Flask-based financial Web application on the platform.

    PLANS & PRICING

    Plans and prices for Quant Platform are on an individual basis only. Get in touch today via team@tpq.io to get your personal demo tour.

    MAJOR FEATURES

    Benefit from powerful features of the platform.

  • Analyze browser-based notebooks for interactive data analytics with e.g. Python, R, Julia
  • Visualize easily visualize your data – both statically and interactively (D3.js)
  • Edit & Develop edit all typical code files within the browser (e.g. Python, HTML, CSS)
  • Use Data easily upload, download and display your data, files, etc.
  • Use Dropbox full Dropbox integration for easy file sharing, backup, etc.
  • Use the Shell use all Linux tools that you love (e.g. Git, Vim, htop) in the browser
  • Get Financial benefit from libraries for advanced financial & risk analytics
  • Publish & Share publish your documents & files, deploy your Web applications
  • Collaborate collaborate within your company, define projects, rights & roles

    PYTHON FOR QUANT FINANCE BOOKS

    Read our books to learn about the power of Python for Finance.

    PYTHON
    FOR FINANCE

    Analyze Big
    Financial Data

    • Learn the relevant Python basics and
    • profit from many real-world financial examples.
    • IPython-based tutorial style.
    • O'Reilly, 2014

    DERIVATIVES ANALYTICS
    WITH PYTHON

    Data Analysis, Models, Simulation, Calibration, Hedging
    • Market-based valuation and management of
    • of equity index options from theory
    • and numerics to implementation in Python.
    • Wiley Finance, 2015

    LISTED VOLATILITY & VARIANCE DERIVATIVES

    A Python-based
    Guide

    • Introduction to listed volatility
    • and variance derivatives with
    • directly executable Jupyter Notebooks.
    • Wiley Finance, forthcoming

    MANAGEMENT

    Profit from our expertise: our team members are experts in Python, Quant Finance,
    Python for Excel, modern analytics infrastructures and more.

    GET IN TOUCH TODAY.

    EXPECT 100%
    PYTHON
    & FINANCE

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